Uncertainty in heart rate complexity metrics caused by R-peak perturbations

Heart rate complexity (HRC) is a proven metric for gaining insight into human stress and physiological deterioration. To calculate HRC, the detection of the exact instance of when the heart beats, the R-peak, is necessary. Electrocardiogram (ECG) signals can often be corrupted by environmental noise...

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Veröffentlicht in:	Computers in biology and medicine 2018-12, Vol.103, p.198-207
Hauptverfasser:	Napoli, Nicholas J., Demas, Matthew W., Mendu, Sanjana, Stephens, Chad L., Kennedy, Kellie D., Harrivel, Angela R., Bailey, Randall E., Barnes, Laura E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximate entropy Background noise Complexity Computer Simulation ECG noise Echocardiography EKG Electrocardiogram analysis Electrocardiography Electrocardiography - methods Electromagnetic interference Entropy Fiducial marker Heart rate Heart Rate - physiology Heart rate complexity Humans Hypoxia Hypoxia - physiopathology Man/System Technology And Life Support Mathematical models Monte Carlo Method Monte Carlo simulation Noise Noise measurement Numerical methods Permutation entropy Permutations Physiology Psychological stress R-peak perturbations Sample entropy Signal Processing, Computer-Assisted Signal-To-Noise Ratio Statistics And Probability Systems design
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